"ProtoASNet: Dynamic Prototypes for Inherently Interpretable and ..."

Hooman Vaseli et al. (2023)

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DOI: 10.1007/978-3-031-43987-2_36

access: closed

type: Conference or Workshop Paper

metadata version: 2023-10-27

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Hooman Vaseli, Ang Nan Gu, S. Neda Ahmadi Amiri, Michael Y. Tsang, Andrea Fung, Nima Kondori, Armin Saadat, Purang Abolmaesumi, Teresa S. M. Tsang:
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography. MICCAI (6) 2023: 368-378

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